Noometry

Model comparison

Claude Opus 4.5 vs Llama 4 Maverick

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 30.9 on the Noometry Index. Llama 4 Maverick costs 33× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Last verified . 38 shared benchmarks.

Claude Opus 4.5 Anthropic

50.5

Rank #47 Confirmed

Llama 4 Maverick Meta

30.9

Rank #282 Confirmed

Summary

  • They share 38 benchmarks with published results for both. Claude Opus 4.5 scores higher in 9 categories and Llama 4 Maverick in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Claude Opus 4.5 leads 42.6 to 10.1.
  • The biggest single-benchmark swing is ARC-AGI-1: 80% for Claude Opus 4.5 and 4.4% for Llama 4 Maverick.
  • Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
  • Claude Opus 4.5 accepts more context: 200K tokens versus 128K.
  • Llama 4 Maverick has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.5Llama 4 Maverick
ProviderAnthropicMeta
Noometry Index50.530.9
Released2025-11-012025-04-05
WeightsProprietaryOpen
Context window200K128K
Max output64K4K
Input $ / M tokens$5$0.19
Output $ / M tokens$25$0.65
Results tracked6954

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Category by category

Coding Claude Opus 4.5 leads

Claude Opus 4.5: 54.8 (#27), Llama 4 Maverick: 26.6 (#324)

BenchmarkClaude Opus 4.5Llama 4 Maverick
SWE-bench Verified (bash only)76.8%21%
WeirdML63.7%24.5%
LMArena Coding15041302
ALE-Bench1,025172.97
SWE-bench Verified76.7%—
Aider Polyglot—15.6%
LMArena WebDev1494—
SWE-bench Multilingual70.7%—
SciCode—33.1%
GSO26.5%—
BigCodeBench Instruct—49.7%
BigCodeBench Complete—61.4%
AlgoTune1.77—

Agentic & Tool Use Claude Opus 4.5 leads

Claude Opus 4.5: 47.3 (#12), Llama 4 Maverick: 28.2 (#91)

BenchmarkClaude Opus 4.5Llama 4 Maverick
Berkeley Function Calling Leaderboard77.5%37.3%
Terminal-Bench63.1%—
GDPval45.5%—
Remote Labor Index3.8%—
τ²-bench Airline84%—
τ²-bench Banking24.7%—
τ²-bench Retail79.6%—
τ²-bench Telecom92.3%—
Cybench82%—
DeepResearch Bench54.8%—
OSWorld66.3%—
BALROG43.5%—
LMArena Search1180—
METR Time Horizons75%—
Vending-Bench 24,967—

Reasoning Claude Opus 4.5 leads

Claude Opus 4.5: 42.6 (#51), Llama 4 Maverick: 10.1 (#342)

BenchmarkClaude Opus 4.5Llama 4 Maverick
ARC-AGI-237.6%0%
SimpleBench62%27.7%
Kagi LLM Benchmark80.2%55.9%
NYT Connections (extended)52.5%8%
ARC-AGI-180%4.4%
EnigmaEval11.9%0.6%
LMArena Hard Prompts14761281
DTBench89.9%61.9%
LMCA44.5%15.9%
Epoch Capabilities Index150.09132.2
ForecastBench60.757.5
CritPt—0%
Chess Puzzles12%—
EBR-Bench14.3%—
Mystery Game Puzzles22%—

Math Claude Opus 4.5 leads

Claude Opus 4.5: 38.6 (#132), Llama 4 Maverick: 26.0 (#262)

BenchmarkClaude Opus 4.5Llama 4 Maverick
OTIS Mock AIME 2024-202586.1%20.6%
LMArena Math14631299
FrontierMath (Feb 2025 set)20.7%0.7%
FrontierMath (Tiers 1-3)34.4%—
FrontierMath Tier 44.9%—
ProofBench36%—
Omni-MATH—42.2%
MATH Level 5—73%
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Opus 4.5 leads

Claude Opus 4.5: 56.5 (#44), Llama 4 Maverick: 33.4 (#204)

BenchmarkClaude Opus 4.5Llama 4 Maverick
GPQA Diamond86%67%
Humanity's Last Exam25.2%5.7%
Vectara Hallucination Rate10.9%8.2%
LMArena Expert14871259
SimpleQA Verified45.7%—
MMLU-Pro—81%
Confabulations—22.6%
GPQA (HELM)—65%

Multimodal Too close to call

Claude Opus 4.5: 31.4 (#107), Llama 4 Maverick: 31.6 (#105)

BenchmarkClaude Opus 4.5Llama 4 Maverick
GeoBench75%52%
LMArena Vision—1142
VPCT40%—
Furniture Assembly28.3%—
LMArena Document1462—
SpatialViz-Bench—31.8%

Multilingual Claude Opus 4.5 leads

Claude Opus 4.5: 54.3 (#47), Llama 4 Maverick: 42.2 (#195)

BenchmarkClaude Opus 4.5Llama 4 Maverick
LMArena Non-English14381269
LMArena Chinese14701277
LMArena French14711259
LMArena German14491291
LMArena Japanese14161207
LMArena Korean14241203
LMArena Russian14471286
LMArena Spanish14581293

Instruction Following Claude Opus 4.5 leads

Claude Opus 4.5: 77.5 (#19), Llama 4 Maverick: 71.7 (#146)

BenchmarkClaude Opus 4.5Llama 4 Maverick
LMArena Instruction Following14781267
IFEval—90.8%

Long Context Claude Opus 4.5 leads

Claude Opus 4.5: 46.5 (#22), Llama 4 Maverick: 31.4 (#279)

BenchmarkClaude Opus 4.5Llama 4 Maverick
LMArena Longer Query14801280
Fiction.LiveBench—46.2%
CL-bench21.1%—

Writing & Preference Claude Opus 4.5 leads

Claude Opus 4.5: 68.1 (#28), Llama 4 Maverick: 38.8 (#252)

BenchmarkClaude Opus 4.5Llama 4 Maverick
LMArena Text14511287
LMArena Creative Writing14451267
EQ-Bench Creative Writing1687860
LMArena Multi-Turn14661289
Short-Story Creative Writing—62%
WildBench—80%

Frequently asked questions

Is Claude Opus 4.5 better than Llama 4 Maverick?

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 30.9 on the Noometry Index. Llama 4 Maverick costs 33× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.5 or Llama 4 Maverick?

Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; Claude Opus 4.5 lists at $5 and $25.

Is Claude Opus 4.5 or Llama 4 Maverick better for coding?

Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 26.6 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.5 does, with 200K tokens against 128K.

How many benchmarks do Claude Opus 4.5 and Llama 4 Maverick share?

38 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Llama 4 Maverick has 54.

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